Meilisearch vs OpenSearch
Meilisearch
Lightning-fast typo-tolerant search engine
OpenSearch
Community-driven Elasticsearch fork by AWS
| Feature | Meilisearch | OpenSearch |
|---|---|---|
| Category | Databases | Databases |
| Sub-category | Search | Search |
| Maturity | stable | stable |
| Complexity | beginner | intermediate |
| Performance tier | medium | medium |
| License | MIT | Apache-2.0 |
| License type | permissive | permissive |
| Pricing | fully free | fully free |
| GitHub stars | 50.0K | 10.0K |
| Contributors | 200 | 500 |
| Commit frequency | weekly | weekly |
| Plugin ecosystem | none | none |
| Docs quality | good | good |
| Backing org | Meilisearch | AWS / OpenSearch |
| Funding model | vc_backed | corporate |
| Min RAM | 512 MB | 4 GB |
| Min CPU cores | 1 | 2 |
| Scaling pattern | single_node | distributed |
| Self-hostable | Yes | Yes |
| K8s native | No | No |
| Offline capable | Yes | Yes |
| Vendor lock-in | none | none |
| Languages | Rust | Java |
| API type | REST | REST |
| Protocols | HTTP | HTTP |
| Deployment | docker, apt, binary | docker, apt, binary |
| SDK languages | — | — |
| Team size fit | solo, small, medium, enterprise | solo, small, medium, enterprise |
| First release | 2020 | 2020 |
| Latest version | — | — |
When to use Meilisearch
- ✓ Primary use: site-search
- ✓ Primary use: e-commerce-search
- ✓ Primary use: app-search
When to use OpenSearch
- ✓ Primary: full-text-search
- ✓ Primary: log-analytics
- ✓ Primary: observability
Meilisearch anti-patterns
OpenSearch anti-patterns
- ✕ Lags behind Elasticsearch features
- ✕ AWS ecosystem bias
- ✕ Large resource footprint